Senior AI Platform/AgentOps Engineer(Azure)
Data Science Analytics & Machine Learning
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Job Description
Develops, maintains and manages enterprise application standards and systems, including database, network and hosting solutions. Drives the development of detailed configuration parameters, custom extensions, workflow and integration solutions. Coordinates with technical / engineering teams to ensure solutions are designed to operate in highly available and reliable environments.
Responsibilities
AI Platform /AgentOps Engineer
Primary Accountability
Industrialize AI solutions and agents into secure, scalable, observable and supportable enterprise services.
Core Responsibilities
- AI Platform Engineering – Build and operate shared AI platform capabilities and services.
- Environment Management – Manage Sandbox, Dev, Test and Production environments with controlled promotion.
- CI/CD & Release Automation – Automate build, validation, deployment, versioning and rollback.
- AgentOps & Administration – Manage agent configuration, deployment, publishing, lifecycle and operational controls.
- AI FinOps / Cost Controls – Track model, agent, API and infrastructure consumption and establish cost visibility.
- Security & Access Controls – Manage identity, secrets, connections, environment isolation and platform-level controls.
- Production Operations – Establish production readiness, operational runbooks, incident support and lifecycle management.
- Platform Automation – Reduce manual administration through reusable infrastructure, deployment and operational automation
- Own the operational foundation for enterprise AI by administering AI platforms, Foundry environments, Copilot Studio and other agent platforms , while providing CI/CD,
Required Qualifications
- Overall experience: 6–10+ years
- AI platform experience: AI/ML, GenAI, LLM, Copilot, agent, or similar modern AI workloads.
- AI Platform Engineering
- Containers/Kubernetes
- AI/GenAI Platforms
- AgentOps
- Observability & Telemetry
- 3+ years in AI Platform Engineering
- Strong hands-on production operations experience
- Practical experience administering AI/ML, GenAI or agent platforms
- Experience supporting enterprise-scale environments with security, governance, monitoring and automation
- Experience moving applications or agents through Sandbox → Dev → Test → Production
- Strong troubleshooting capability across platform, application, integration, identity and infrastructure layers
- Minimum of 4-6 years of relevant experience or equivalent combination of education and experience in Enterprise Applications.
- Good business English skills (Written and spoken).
Why should you join Diebold Nixdorf
Brightest minds + technology and innovation + business transformation The people of Diebold Nixdorf are 23,000+ teammates of diverse talents and expertise in more than 130 countries, harnessing future technologies to deliver personalized, secure consumer experiences that connect people to commerce. Our culture is fueled by our values of collaboration, decisiveness, urgency, willingness to change, and accountability.
–Diebold Nixdorf is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.
- To all recruitment agencies: Diebold Nixdorf does not accept agency resumes. Please do not forward resumes to our jobs alias, Diebold Nixdorf employees or any other organization location. Diebold Nixdorf is not responsible for any fees related to unsolicited resumes**
Skills
Business TransformationAi/mlAiMlLlmGenaiCopilotIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Consumer behavior is changing rapidly; people are empowered, connected and expect an unprecedented level of service and convenience. Simultaneously, the financial and retail industries we operate in are converging as mobile, contactless tech, smart data and advanced analytics blur the lines. The world is “always on” – it’s a digital era that requires us to orchestrate touchpoints in ways that meet and exceed the 24/7 automation needs of the banking and retail worlds.
We’re the world leader in connected commerce, with proven expertise and comprehensive portfolios in cutting-edge systems technology, multi-vendor software and service excellence for both financial and retail customers. Diebold Nixdorf employs approximately 25,000 employees in more than 130 countries around the world. We are publicly traded on the New York Stock Exchange under the symbol “DBD.” Specialties: financial and retail self-service solutions, services, security solutions, software, cash management, branch and store transformation.
We started out making safes—security is embedded in our DNA. Today, we’re a strategic, collaborative, end-to-end provider of services, software, hardware and, yes, security. With our clients around the world, we’re driving connected commerce for the future of banking and retail.
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